Multi-level data channel and inspection architectures

ABSTRACT

Aspects of the disclosure relate to a method for inspecting a data stream. The method may include conveying the data stream through a multi-level data channel and inspection architecture. The architecture includes a multi-level data pipeline. The pipeline is formed from pipes arranged serially such that each output of one pipe provides an input to a successive one of the plurality of pipes. The pipeline receives the data stream at an upstream portion of the pipeline, and inspects the data in the data stream. Thereafter, the pipeline outputs inspected data at a downstream portion of the pipeline. The outputted inspected data becomes inputted date for a successive one of the pipes. A data manager may be configured to coordinate passage of the data into and out of the pipeline, and between one or more of the group of mechanisms. Each pipe is configured to inspect the data on a different level of data channel inspection, each level of data channel inspection having individual data attribute and/or metadata extracting capabilities, from any of the other of the plurality of pipes.

FIELD OF TECHNOLOGY

Aspects of the disclosure relate to data architectures. Specifically, aspects of the disclosure relate to architectures for use in verifying and authenticating data in data streams.

BACKGROUND OF THE DISCLOSURE

Digital packet inspection (sometimes referred to as deep packet inspection) (“DPI”) inspects in detail the data being sent over a computer network. At times, DPI can take actions, with respect to the data, such as blocking, re-routing, or logging the data. DPI is often used to insure that the data is, inter alia, in correct format, to check for malicious code, eavesdropping and for internet censorship.

Many DPI methods, however, are slow and bandwidth-consumptive. This limits their effectiveness—especially for use with high-bandwidth applications. It would be desirable to develop more efficient methods of DPI.

While special routers are being developed to perform DPI, it would also be desirable to develop architectures that are directed to increasing speed and performance of DPI. It be yet further desirable to increase speed and performance of DPI, yet, at the same time reduce the bandwidth consumption by DPI.

SUMMARY OF THE DISCLOSURE

A multi-level data channel and inspection architecture is provided. In certain embodiments, the architecture may include a multi-level data pipeline. The pipeline may receive a data stream at an upstream portion of the tunnel and output inspected data at a downstream portion of the pipeline.

The pipeline may include a plurality of pipes. Each of the pipes may include one or more of a group of mechanisms. The mechanisms may include a data manager, a data ingestor, a data collector, a data processor, a data extractor, a data attribute updater, a query selector, and a visualizer. The data manager is preferably configured to coordinate passage of the data into and out of the pipeline. The data manager may also coordinate the passage of the data between one or more of the group of mechanisms within each pipe.

Each of the plurality of pipes may be configured to inspect the data on a different level of data channel inspection than any of the other of the plurality of pipes. Each level of data channel inspection may have an individual data attribute and/or metadata extracting capabilities. Each of the plurality of pipes may be arranged in a serial connection with the other of the plurality of pipes such that an output of one pipe provides an input to a successive one of the plurality of pipes.

BRIEF DESCRIPTION OF THE DRAWINGS

The objects and advantages of the disclosure will be apparent upon consideration of the following detailed description, taken in conjunction with the accompanying drawings, in which like reference characters refer to like parts throughout, and in which:

FIG. 1 shows an illustrative architecture include mechanisms within a data analysis and review conduit in accordance with principles of the disclosure;

FIG. 2A shows another illustrative network architecture including a multi-level data pipeline in accordance with principles of the disclosure;

FIG. 2B shows yet another illustrative network architecture include a multi-level data pipeline, with various pipes disposed in a serial connection in accordance with principles of the disclosure;

FIG. 2C shows yet another illustrative network architecture include a multi-level data pipeline, with various pipes disposed in a parallel fashion in accordance with principles of the disclosure;

FIG. 3 shows an illustrative system architecture including a data review tunnel in accordance with principles of the disclosure; and

FIG. 4 shows yet another illustrative network architecture in accordance with principles of the disclosure.

DETAILED DESCRIPTION OF THE DISCLOSURE

Aspects of the disclosure relate to architectures and methods associated therewith according to certain embodiments. Preferably present structures for intercepting the data and/or hiding/altering the contents of the data. The architectures set forth herein enables intercepting the data and/or hiding/altering the contents of the data because the analysis and review of the data is preferably performed by the architectures either prior to loading of the data into the greater system and/or at certain selected, preferably pre-determined, points of the data channel.

Theoretically, the architectures of the current embodiments can preferably be conceived of as a horizontal review system. Such a review system may preferably be configured to process data streams, data objects, and/or data sets (collectively referred to herein as, the “data”). Each of the above preferably have multiple parts, varying content and different data types. Accordingly, the architectures are fill a need to create a tiered inspection layer that allows data to be inspected, not just as a packet level but in varying gradations—i.e., varying levels of inspection. Creating this multi-level data “filter” architecture preferably enables the data to be searched in various gradations of searching. In addition, such an architecture passes the data through different quality assurance parameters. Checking the data with respect to such parameters informs analysis and review (“A&R”) of the data along with certifying the data vis-à-vis other functional workflows.

The embodiments of the architecture disclosed herein involve comprehensive A&R channeling across one or more digital pipes.

A basic channel could include the following—

Data Packets (DP1, DP2, . . . DPn)—x.

Data Pipes (L0, Ll, L2, . . . Ln) each with complementing pairs. The Data pipes can be segmented into levels each having specific/varying data attribute/metadata extracting capability. For the purposes of the disclosure herein, L0, a first data pipe, should be considered a basic data audit trail. Each new layer—i.e., L1-Ln—adds a new set of policies and requirements.

Relatively large amounts of real-time, or streaming, data requires one or more data processing pipelines. Each pipeline preferably contains paired pipe layers, the advantages of which will be described below in more detail.

An exemplary multi-level data channel and inspection architecture is preferably provided. The exemplary architecture preferably includes a multi-level data pipeline. The pipeline receiving a data stream at an upstream portion of the tunnel and outputting inspected data at a downstream portion of the pipeline.

The pipeline preferably includes a plurality of data pipes—i.e., data channels for providing a path for data packets. Each of the pipes includes one or more of a group of mechanisms. Each of the mechanisms includes one or more of the following: a data manager, a data ingestor, a data collector, a data processor, a data extractor, a data attribute updater, a query selector, and a visualizer.

The data manager is preferably configured to coordinate passage of the data into and out of the pipeline, and/or between one or more of the group of mechanisms. Each of the plurality of pipes is also preferably configured to inspect the data on a different level of data channel inspection than any of the other of the plurality of pipes. Each level of data channel inspection preferably includes individual data attribute and/or metadata extracting capabilities.

In some embodiments, each of the plurality of pipes is serially coupled to one another within the multi-level data pipeline. In such embodiments, an output of a first pipe is coupled to an input of a successive pipe in the pipeline.

In certain embodiments, the data manager is further configured to force through, or bypass passage of the data stream around, one or more of the mechanisms. Forcing or bypassing of passage of the data stream through one or more of the mechanisms may be based on an initial and/or a subsequent review of the data stream by one or more of the plurality of mechanisms. Forcing or bypassing of passage of the data stream through one or more of the mechanisms may be based on any suitable trigger.

It should be noted that once a packet is classified—it may be forced to be redirected, marked/tagged, blocked, rate limited, and possible reported.

In some embodiments, each of the plurality of pipes preferably comprises a complementary pair of pipes. Each of the complementary pair of pipes may be configured to carry a partial amount of the data stream.

Apparatus and methods described herein are illustrative. Apparatus and methods in accordance with this disclosure will now be described in connection with the figures, which form a part hereof. The figures show illustrative features of apparatus and method steps in accordance with the principles of this disclosure. It is understood that other embodiments may be utilized, and that structural, functional, and procedural modifications may be made without departing from the scope and spirit of the present disclosure.

Conventional data inspections are “vertical” in nature—i.e., data is reviewed and analyzed in such inspections, but no mechanism for intercepting and hiding/altering the data is provided.

FIG. 1 shows a group of possible audit mechanisms for use along a data pipe 100. Data pipe 100, also referred to herein as a data tunnel, each of these mechanisms may be used alone or in some combination with one another. It should be noted that the channel data manager (not shown in FIG. 1) may coordinate passage of the data into, between and out of one or more of the mechanisms.

Channel data ingestor 102 serves to bring the data stream 101 into the pipeline. As such, channel data ingestor preferably is on the externally-facing input side of the data pipeline. It should be noted that each individual pipe in which some or all of mechanisms 101-118 are arranged preferably have different set of requirements regarding data integrity and verity that can be implemented as part of an initial application. These sets of requirements may also support real-time adjustment of data based on real/perceived threats and/or errors in the data.

It should be noted that each of multiple pipes may be arranged with various audit levels. The channel data manager may force or bypass certain of mechanisms 101-118, or certain levels within mechanisms 101-118, based on initial and/or subsequent reviews. Such forcing or bypassing may be dependent, in certain embodiments, upon the data attributes/metadata-extracting capability of the individual pipes.

The channel data collector 106 may preferably coordinates transportation of data from ingestion layer to, and, at times, throughout, the rest of data pipeline.

The channel data processor 106 preferably processes the collected data from the previous layer. The channel data processor 106 may serve to route the data to a different destination—the different destination being one that is either in or out of the pipe—and/or classify the data flow. It should be noted that architectures, according to the embodiments, can preferably identify packet flows, rather than conducting a packet-by-packet analysis. This enables institution of control actions based on accumulated flow information.

The channel data extractor 108 may extract the based on data patterns. These patterns enable extractor 108 to mine arbitrary information and extract certain, selected information, from the data which is received and reviewed.

The channel data attribute updater 110 preferably is configured to add custom properties to data. Such customer properties may include data extracted from primary and secondary data sources to add/remove/edit clarity, value, security or other data attributes. An example could include adding data markers as each packet, or other segment, of data is inspected or adding one or additional layers of tokenization. The additional layers of tokenization may depend on the sensitivity of the data passing through the exchange custom fields required for certain documents and/or certain classes of documents.

The channel data query selector 112 provides a layer wherein strong inspection and review processing takes place. Such inspection and review processing may include, for example, data extracted from 108 and validating such data against certain policies to meet regulatory, or other relevant, needs.

The channel data visualizer 114 is a layer that provides full business infographics, as necessary, to express the static and dynamic results obtained from the ongoing A & R.

The channel data auditor 116 may preferably audit data. In addition, the channel data auditor 116 may provide a supervisory layer for continuously, or periodically, monitoring traced data. Channel data auditor 116 may preferably output the data as inspected data 118.

FIG. 2A shows a multi-level data pipeline 200. Multi-level data pipeline 200 preferably includes an incoming data stream 202. Data stream 202 is preferably a candidate for A & R.

Each of pipes 208-218 preferably may include one, some or all of mechanisms 102-114 shown in FIG. 1. In such a pipeline, the coordination of movement of data from one pipe to the next may also require an additional, overseeing data pipeline manager (not shown) that coordinates passage of the data into, between and out of one or more of the pipes 208-218.

It should be noted that the arrangement of pipes 208-218 may be in one of a number of various arrangements. For example, the pipes may be laid out in a serial arrangement—i.e., the output of a first pipe may provide the input for a next pipe and so on. FIG. 2B shows the pipes laid out in a serial arrangement 240.

In another arrangement, pipes may be laid out in a parallel arrangement—i.e., all (or some) of the pipes may have inputs that receive different streams and outputs that output different streams. FIG. 2C shows this network architecture. This network architecture, which includes a multi-level data pipeline, shows the various pipes disposed in a parallel fashion 280 in accordance with principles of the disclosure. It should be noted that the decision as to which data goes into which pipe may be handled by, for example, a data pipeline manager (not shown in FIGS. 2A-2C). Such a data pipeline manager may preferably determine based on a suitable algorithm which data packets go where depending on, for example, packet size, packet security, etc.

In some parallel embodiments, multi-pipe, or multi-tier, data diverters may be implemented. These diverters may serve to reduce bandwidth consumption relating to in-line data review. Each pipe, or tier, may correspond to a security level associated with data packets found in a data stream. For example, a top-level pipe, or tier, may be reserved for reviewing a data stream including data packets that include, or reference, a social security number. A second exemplary pipe or tier may be reserved for reviewing a data stream including data packets that include, or reference, an account number. The security-based arrangement of pipes may also be utilized in according with certain embodiments of the serial-based arrangement of the pipes.

In some embodiments, each pipe, or tier, may correspond to a size-dimension associated with data packets found in a data stream. For example, a top-level pipe, or tier, may be reserved for reviewing a data stream including data packets that less than a pre-determined size threshold. In such a pipe or tier, the speed can remain relatively high because the packets are small and can be inspected relatively quickly. A second exemplary pipe or tier may be reserved for reviewing a data stream including data packets that are greater in size than the first threshold but less than a second threshold, etc. The security-based arrangement of pipes may also be utilized in according with certain embodiments of the serial-based arrangement of the pipes.

In some embodiments, there may be multiple data pipeline managers that are disposed throughout the various pipes 208-218. For example, one data pipeline manager may be assigned to coordinate the movement between pipes 208-212 while another may be assigned to coordinate the movement between pipes 214-218. Alternatively, there may be more data pipeline managers, as needed for the system.

The data stream 202, formed from packets 1-N at 204, preferably exits as inspected data 220, formed from inspected packets 1-N at 222.

FIG. 3 shows a schematic diagram of an exemplary data review tunnel 300 according to certain embodiments. Data review tunnel 300 preferably includes, and communicates with, data review decision rules module 302, data interpreter module 304, data collector module 306 and/or data reporter module 308. The entirety of the data review, and data movement, and records movement, attendant thereto, is preferably coordinated by tunnel data review manager 310.

The data review decision rules module 302 preferably includes rules for reviewing and analyzing the data. Tunnel data review manager 310 preferably communicates with data review decision rules module 302 to determine the meets and bounds of the analysis and review of data that will take place.

Data collector module 306 preferably is configured to receive, review and analyze data received by the tunnel data review manager 310.

Data interpreter module 304 is preferably configured to review data received by the tunnel data manager and to establish the type of data for reference by the tunnel data manager. Data reporter module 308 may be configured to prepare a report based on the analysis and review conducted by tunnel data review manager 310 in conjunction with data review decision rules module 302, data interpreter module 304 and data collector module 306.

In certain embodiments, it should be noted that the four “spokes” 302-308 that extend from tunnel data review manager 310, together with tunnel data review manager 310, may form a multiplexer such that any packets that enter spokes 302-308 may require an acceptance by all of spokes 302-308 prior to exiting tunnel data review manager 310. As such, tunnel 300 preferably acts as an AND logic gate which validates, and allows to pass, data packets only after full review and validation at the four different spokes 302-308.

FIG. 4 shows a schematic diagram of an exemplary arrangement 400 of data review tunnels 416-422 as they intersect with a plurality of complementary pipe pairs 408-412. Data packets 402-406 are shown to the left as entering and traveling through pipe pairs 408-412.

Pipe pairs 408-412 are shown as complementary pairs as opposed to single data pipes. The complementary pairs enable the arrangement 400 to process large amounts of real—time or streaming data.

In certain embodiments, the complementary pairs of pipes 408-412 may illustrate schematic descriptions of double-key systems. For example, when a first entity wants to contact a second entity using electronic communication, the first entity may encrypt the transmission using a first encryption key. On the receiving end, the second entity, may decode the transmission using the key with which the first entity encoded the information. However, if a malicious actor breaks the encryption key, then the communication is in danger of a security breach.

In order to increase security, the transmitter of information may transmit information over two pipes instead of one. In order to hack such a transmission, a malicious actor will be required to hack both information pipes in order to reconstruct the transmission. If an even greater level of security is desired, then the two-pipe solution can implement two security keys. For example, if the transmitter uses a public key provided by the recipient to encrypt the transmission and then further encrypts the transmission using a the transmitter's own private key, then the recipient will be required to decode the transmission using both the public key and the private key. The security of the transmission will be further heightened by using dual (or more) transmission pipes to transmit the transmission.

Tunnels 416-422 may be configured as data review tunnels 300 set forth in FIG. 3. Tunnels 416-422 are shown as intersecting both complementary pipes of each of pairs 408-412. In such an architecture, tunnels 416-422 can provide the data channeling sufficient for implementing the processing, et al., shown in FIG. 3. Tunnels 416-422 preferably stretch across both pipes because the information in both pipes is preferably critical to performing analysis and review of the information in both pipes.

The data channeling described herein in the portion of the specification corresponding to FIGS. 1-4 may support real-time or near real-time data inspection and review. Furthermore, the data channeling may enable efficient control and data attribute/metadata extraction to compare against data records stored in a System of Record/Registration (“SOR”) and/or Authorized Data Source (“ADS”).

Preferably all of the embodiments shown herein allow for certain data stripping capabilities based on SOR and/or ADS including the ability to compare and/or correct inconsistent data—i.e., data that does not conform to the SOR and/or the ADS.

Moreover, the systems and architectures described herein preferably provide the ability to dynamically freeze one or more data channels with respect to one or more data packets/streams. Freezing a data channel may be required in a data breach situation or other emergency situation. In addition, the systems and architectures described herein preferably allow certain data to pass based on a pending registration/attribute review, or put in a holding pattern and/or holding zone pending the exit of frozen data currently stuck in the channel.

In certain embodiments of the architectures shown in FIG. 1-4, the pipes could have different set of requirements that can be implemented as part of an initial application but also support real-time adjustment based on real/perceived threats or any other selected stimuli.

The steps of methods may be performed in an order other than the order shown and/or described herein. Embodiments may omit steps shown and/or described in connection with illustrative methods. Embodiments may include steps that are neither shown nor described in connection with illustrative methods.

Illustrative method steps may be combined. For example, an illustrative method may include steps shown in connection with another illustrative method.

Apparatus may omit features shown and/or described in connection with illustrative apparatus. Embodiments may include features that are neither shown nor described in connection with the illustrative apparatus. Features of illustrative apparatus may be combined. For example, an illustrative embodiment may include features shown in connection with another illustrative embodiment.

The drawings show illustrative features of apparatus and methods in accordance with the principles of the invention. The features are illustrated in the context of selected embodiments. It will be understood that features shown in connection with one of the embodiments may be practiced in accordance with the principles of the invention along with features shown in connection with another of the embodiments.

One of ordinary skill in the art will appreciate that the steps shown and described herein may be performed in other than the recited order and that one or more steps illustrated may be optional. The methods of the above-referenced embodiments may involve the use of any suitable elements, steps, computer-executable instructions, or computer-readable data structures. In this regard, other embodiments are disclosed herein as well that can be partially or wholly implemented on a computer-readable medium, for example, by storing computer-executable instructions or modules or by utilizing computer-readable data structures.

Thus, systems and methods for multi-level data channel and inspection architectures are provided. Persons skilled in the art will appreciate that the present invention can be practiced by other than the described embodiments, which are presented for purposes of illustration rather than of limitation, and that the present invention is limited only by the claims that follow. 

1-18. (canceled)
 19. A multi-level data channel and inspection architecture, said architecture comprising: a multi-level data pipeline, said pipeline receiving a data stream at an upstream portion of the pipeline and outputting inspected data at a downstream portion of the pipeline, wherein said pipeline comprises: a data manager for: coordinating passage of the data stream into a plurality of pipes, out of the plurality of pipes, and between the plurality of pipes; and for each pipe, performing an initial review of each data stream passing into the pipe, wherein a review performed for a first pipe is associated with a first audit level and a review performed for a second pipe is associated with a second audit level; and; the plurality of pipes, wherein the plurality of pipes defines a plurality of complementary pipe pairs, each complementary pipe pair including a first pipe and a second pipe, the first pipe carrying a first portion of the data stream and the second pipe carrying a second portion of the data stream, wherein, to reconstruct the data stream, the first portion and the second portion must be retrieved, wherein each of the pipes: corresponds to a security level associated with a type of data packets that may be found in the data stream; and consists of one or more of the group of mechanisms including: a data ingestor configured to bring the data stream into the pipe, the data ingestor being on an input side of the pipe; a data collector configured to coordinate transportation of the data stream from the data ingestor through the pipe; a data processor configured to receive the data stream from the data collector and process the received data stream, the processing including identifying packet flows and routing the data stream to either a data extractor or to a destination out of the pipe, wherein the routing is based on the identifying of the packet flows; the data extractor for receiving the data stream from the data processor and extracting data patterns from the data stream; a data attribute updater for receiving the data stream from the data extractor and adding custom properties to the data stream, the custom properties including: data markers; and based on a sensitivity of the data stream, one or more tokenization layers; a query selector for validating the data stream against regulatory requirements; and a visualizer for outputting static and dynamic infographics relating to results extracted from the group of mechanisms; wherein: a first complementary pipe pair reviews data packets in the data stream that include a social security number and a second complementary pipe pair reviews data packets in the data stream that include an account number; and each of the plurality of complementary pipe pairs is configured to inspect the data on a different level of data channel inspection than any of the other of the plurality of complementary pipe pairs, each level of data channel inspection having an individual data attribute and/or metadata extracting capabilities.
 20. The architecture of claim 19, wherein each of the plurality of complementary pipe pairs are serially coupled to one another within the multi-level data pipeline, such that an output of a first pipe is coupled to an input of a successive pipe in the pipeline.
 21. The architecture of claim 19, wherein the data manager is further configured to force or bypass passage of the data stream through one or more of the mechanisms.
 22. The architecture of claim 21, wherein the data manager is further configured to force or bypass passage of the data stream through one or more of the group of mechanisms based on a subsequent review of the data stream by one or more of the group of mechanisms.
 23. The architecture of claim 19, wherein each of the complementary pipe pairs is configured to carry a partial amount of the data stream.
 24. A multi-level data channel and inspection architecture, said architecture comprising: a multi-level data pipeline, said pipeline receiving a data stream at an upstream portion of the pipeline and outputting inspected data at a downstream portion of the pipeline, wherein said pipeline comprises: a data manager for: based at least in part on a packet size of the data stream, coordinating passage of the data stream into a plurality of pipes, out of the plurality of pipes, and between the plurality of pipes; for each pipe, performing an initial review of each data stream passing into the pipe, wherein a review performed for a first pipe is associated with a first audit level and a review performed for a second pipe is associated with a second audit level; and based on the initial review, forcing or bypassing passage of the data stream around one or more of a group of mechanisms; and the plurality of pipes, the plurality of pipes defining a plurality of complementary pipe pairs, each complementary pipe pair including a first pipe and a second pipe, the first pipe carrying a first portion of the data stream and the second pipe carrying a second portion of the data stream, wherein, to reconstruct the data stream, the first portion and the second portion must be retrieved, wherein each of the pipes: corresponds to a size dimension associated with data packets found in the data stream; and consists of one or more of the group of mechanisms including: a data ingestor configured to bring the data stream into the pipe, the data ingestor being on an input side of the pipe; a data collector configured to coordinate transportation of the data stream from the data ingestor through the pipe; a data processor configured to receive the data stream from the data collector and process the received data stream, the processing including identifying packet flows and routing the data stream to either a data extractor or to a destination out of the pipe, wherein the routing is based on the identifying of the packet flows; the data extractor for receiving the data stream from the data processor and extracting data patterns from the data stream; a data attribute updater for receiving the data stream from the data extractor and adding custom properties to the data stream, the custom properties including: data markers; and based on a sensitivity of the data stream, one or more tokenization layers; a query selector for validating the data stream against regulatory requirements; and a visualizer for outputting static and dynamic infographics relating to results extracted from the group of mechanisms; wherein: a first complementary pipe pair reviews data packets in the data stream that correspond to a first size-dimension that is less than a first size threshold and a second complementary pipe pair reviews data packets in the data stream that correspond to a second size-dimension that is greater than the first size threshold; and each of the plurality of complementary pipe pairs is configured to inspect the data on a different level of data channel inspection than any of the other of the plurality of complementary pipe pairs, each level of data channel inspection having individual data attribute and/or metadata extracting capabilities.
 25. The architecture of claim 24, wherein each of the plurality of complementary pipe pairs is configured to inspect the data at a different rate of data per unit time.
 26. The architecture of claim 24, wherein the data manager is further configured to force or bypass passage of the data stream through one or more of the mechanisms.
 27. The architecture of claim 26, wherein the data manager is further configured to forcing or bypassing of force or bypass passage of the data stream through one or more of the group of mechanisms based on an initial and/or a subsequent review of the data stream by one or more of the plurality group of mechanisms.
 28. The architecture of claim 24, wherein each of the complementary pair of pipes pipe pairs is configured to carry a partial amount of the data stream.
 29. A method for inspecting a data stream, said method comprising conveying the data stream through a multi-level data channel and inspection architecture, said architecture conveying comprising: using a data manager: based at least in part on a security level of the data stream, coordinating passage of the data stream into a plurality of pipes, out of the plurality of pipes, and between the plurality of pipes; and for each pipe, performing an initial review of each data stream passing into the pipe, wherein a review performed for a first pipe is associated with a first audit level and a review performed for a second pipe is associated with a second audit level; bringing the data stream into a multi-level data pipeline, said pipeline comprising a plurality of pipes, the plurality of pipes defining a plurality of complementary pipe pairs, each complementary pipe pair including a first pipe and a second pipe receiving the data stream at an upstream portion of the pipeline; splitting the data stream into a first portion and a second portion; routing, based on a security level of the data stream, the first portion and the second portion through one of the complementary pipe pairs, the first portion being routed through a first pipe of the one of the complementary pipe pairs, and the second portion being routed through a second pipe of the one of the complementary pipe pairs, wherein, to reconstruct the data stream, the first portion and the second portion must be retrieved; inspecting data in the data stream, the inspecting data for converting the data stream into inspected data; using a data attribute updater, adding custom properties to the data stream, the custom properties including data markers and, based on a sensitivity of the data stream, one or more tokenization layers; using a query selector, validating the data stream against regulatory requirements; and outputting inspected data at a downstream portion of the pipeline wherein: a first complementary pipe pair reviews data packets in the data stream that include a social security number and a second complementary pipe pair reviews data packets in the data stream that include an account number; and each of the plurality of pipes is configured to inspect the data on a different level of data channel inspection than any of the other of the plurality of pipes, each level of data channel inspection having individual data attribute and/or metadata extracting capabilities.
 30. The method of claim 29, wherein each of the plurality of complementary pipe pairs are serially coupled to one another within the multi-level data pipeline, such that an output of a first pipe is coupled to an input of a successive pipe in the pipeline.
 31. The method of claim 29, wherein the data manager is further configured to force, within each pipe, or bypass, within each pipe, passage of the data stream through one or more of the mechanisms.
 32. The method of claim 31, wherein the data manager is further configured to forcing or bypassing of force or bypass passage of the data stream through one or more of the group of mechanisms based on an initial and/or a subsequent review of the data stream by one or more of the plurality group of mechanisms.
 33. The method of claim 29, wherein each of the complementary pair of pipes pipe pairs is configured to carry a partial amount of the data stream. 